Asymptotic normality of extreme value estimators on $C[0,1]$

dc.creatorEinmahl, John H. J.
dc.creatorLin, Tao
dc.date2006-05-23
dc.date.accessioned2026-07-07T08:07:51Z
dc.date.available2026-07-07T08:07:51Z
dc.descriptionConsider $n$ i.i.d. random elements on $C[0,1]$. We show that, under an appropriate strengthening of the domain of attraction condition, natural estimators of the extreme-value index, which is now a continuous function, and the normalizing functions have a Gaussian process as limiting distribution. A key tool is the weak convergence of a weighted tail empirical process, which makes it possible to obtain the results uniformly on $[0,1]$. Detailed examples are also presented.
dc.descriptionPublished at http://dx.doi.org/10.1214/009053605000000831 in the Annals of Statistics (http://www.imstat.org/aos/) by the Institute of Mathematical Statistics (http://www.imstat.org)
dc.identifierhttps://arxiv.org/abs/math/0605612
dc.identifierhttp://arxiv.org/abs/math/0605612
dc.identifierAnnals of Statistics 2006, Vol. 34, No. 1, 469-492
dc.identifierdoi:10.1214/009053605000000831
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/131068
dc.subjectStatistics Theory
dc.subject62G32, 62G30, 62G05 (Primary) 60G70, 60F17 (Secondary)
dc.titleAsymptotic normality of extreme value estimators on $C[0,1]$
dc.typetext

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